Consumer community cognition, brand loyalty, and behaviour intentions within online publishing communities: An empirical study of Epubit in China

2020 ◽  
Author(s):  
Zhiqiang Zhang ◽  
Lei Zheng
2002 ◽  
Vol 27 (3) ◽  
pp. 149-176 ◽  
Author(s):  
B.S. Bhatia ◽  
Anupam Bawa

The region of Punjab and Chandigarh does not show the type of differences in consumer behaviour that are normally expected in a rural urban market comparison in India. In fact, the rural market shows more similarities than differences with the urban market. Many of these similarities are in those aspects about which earlier writers had found great differences, e.g. frequency of purchase, type of distribution outlet patronised, brand loyalty, exposure to advertisements, to name but a few. No stark differences in consumer behaviour were found on comparing the rural market with the urban market. The distinctive features of this region, including its prosperity and well connectedness may be responsible for these findings. The findings of this study have a bearing on the marketing strategy that should be designed for geographic region.


2018 ◽  
Vol 31 (2) ◽  
pp. 595-614 ◽  
Author(s):  
Vidyasagar Potdar ◽  
Sujata Joshi ◽  
Rahul Harish ◽  
Richard Baskerville ◽  
Pornpit Wongthongtham

Purpose The purpose of this paper is to develop and empirically test a process model (comprising of seven dimensions), for identifying online customer engagement patterns leading to recommendation. These seven dimensions are communication, interaction, experience, satisfaction, continued involvement, bonding, and recommendation. Design/methodology/approach The authors used a non-participant form of netnography for analyzing 849 comments from Australian banks Facebook pages. High levels of inter-coder reliability strengthen the study’s empirical validity and ensure minimum researcher bias and maximum reliability and replicability. Findings The authors identified 22 unique pattern of customer engagement, out of which nine patterns resulted in recommendation/advocacy. Engagement pattern communication-interaction-recommendation was the fastest route to recommendation, observed in nine instances (or 2 percent). In comparison, C-I-E-S-CI-B-R was the longest route to recommendation observed in ninety-six instances (or 18 percent). Of the eight patterns that resulted in recommendation, five patterns (or 62.5 percent) showed bonding happening before recommendation. Research limitations/implications The authors limited the data collection to Facebook pages of major banks in Australia. The authors did not assess customer demography and did not share the findings with the banks. Practical implications The findings will guide e-marketers on how to best engage with customers to enhance brand loyalty and continuously be in touch with their clients. Originality/value Most models are conceptual and assume that customers typically journey through all the stages in the model. The work is interesting because the empirical study found that customers travel in multiple different ways through this process. It is significant because it changes the way the authors understand patterns of online customer engagement.


2005 ◽  
Vol 14 (7) ◽  
pp. 414-423 ◽  
Author(s):  
Subir Bandyopadhyay ◽  
Kunal Gupta ◽  
Laurette Dube

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Faiq Kamal Haider Hashmi ◽  
Faisal Khalid ◽  
Muhammad Ammar Akram ◽  
Usman Saeed ◽  
Muhammad Rizwan

Innovar ◽  
2020 ◽  
Vol 30 (75) ◽  
pp. 43-56 ◽  
Author(s):  
Iván Alonso Montoya-Restrepo ◽  
Javier A. Sánchez Torres ◽  
Sandra Patricia Rojas Berrio ◽  
Alexandra Montoya-Restrepo

The purpose of this paper is to consolidate the measurement of a lovemark and unify a set of elements that form a lovemark in university institutions by considering the differences between students and graduates. Based on a review of factors that build a lovemark, brand loyalty relationships were explored. In addition, an empirical study was carried out and applied to a sample of 257 participants at the National University of Colombia (UNAL), one of the most important uni­versities in this country. The results validated the positive effects of brand love, brand experience, and brand involvement on brand loyalty, the determining factor of a university lovemark. This article is one of the first works integrating all the constructs proposed by prior research studies, which, until now, have approached lovemark and brand loyalty separately.


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